The AI Model Handbook: A guide to the world of artificial intelligence modeling
Dive into the world of artificial intelligence and machine learning with this engaging and accessible book. Covering the most common models and techniques used in production, it explains complex concepts in a non-technical way, making them accessible to anyone with an interest in AI.
From supervised and unsupervised learning to deep learning and natural language processing, the book covers a wide range of topics, including computer vision, generative adversarial networks, graph neural networks, recommender systems, and causal inference.
Table of Contents
- PrefaceAI is the New PC
- Chapter 1Artificial Intelligence and Machine Learning
- Chapter 2Supervised Machine Learning Models
- Chapter 3Unsupervised Machine Learning Models
- Chapter 4Deep Learning Models
- Chapter 5Reinforcement Learning Models
- Chapter 6Natural Language Processing (NLP) Models
- Chapter 7Computer Vision Models
- Chapter 8Generative Adversarial Networks
- Chapter 9Graph Neural Networks
- Chapter 10Recommender Systems
- Chapter 11Causal Inference Models
- Conclusion
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